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Blind relevance feedback with wikipedia: Enterprise track
Abstract In this year's Enterprise track experimentIn this year's Enterprise track experiment, we focused on testing Blind Relevance Feedback, especially using online Wikipedia as query expansion collection. We demonstrated that using Wikipedia as query expansion collection returns better infNDCG than not using it. returns better infNDCG than not using it.
Abstractsub In this year's Enterprise track experimentIn this year's Enterprise track experiment, we focused on testing Blind Relevance Feedback, especially using online Wikipedia as query expansion collection. We demonstrated that using Wikipedia as query expansion collection returns better infNDCG than not using it. returns better infNDCG than not using it.
Bibtextype inproceedings  +
Has author Peng Y. + , Mao M. +
Has extra keyword Query expansion + , Relevance feedback + , Wikipedia + , Industry + , Information retrieval + , Websites +
Issn 1048776X  +
Language English +
Number of citations by publication 0  +
Number of references by publication 0  +
Published in NIST Special Publication +
Title Blind relevance feedback with wikipedia: Enterprise track +
Type conference paper  +
Year 2008 +
Creation dateThis property is a special property in this wiki. 6 November 2014 20:46:31  +
Categories Publications without keywords parameter  + , Publications without license parameter  + , Publications without DOI parameter  + , Publications without remote mirror parameter  + , Publications without archive mirror parameter  + , Publications without paywall mirror parameter  + , Conference papers  + , Publications without references parameter  + , Publications  +
Modification dateThis property is a special property in this wiki. 6 November 2014 20:46:31  +
DateThis property is a special property in this wiki. 2008  +
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